AI Decision Support for Business Leaders

Bring selected Odoo ERP information into AI-assisted analysis for management review. TDS helps define data sources, access rules and decision workflows around the agreed business scope.

Download the DSS Brochure (English)

Understanding Decision Delays


When operational data is fragmented or reviewed late, leaders may have less time to evaluate changing conditions. AI-assisted decision support brings relevant information together for human review.

Execution visibility: Connect strategic priorities with operational indicators to support timely review.

Scenario review: Compare assumptions and possible responses before making a strategic decision.

Identify information gaps: Review where disconnected records make operational risks harder to assess.

How AI-assisted decision support works


The approach connects ERP information, AI-assisted analysis and decision traceability. Data availability, integration needs and governance controls are reviewed during discovery.

Download the Solution Modules (English)

Connected Decision Intelligence

Connect agreed financial, operational, sales and HR data sources for management review. Refresh frequency and response times depend on the source systems and integration design.

Integration scope


AI-assisted Strategic Analysis

Ask questions in natural language and explore selected business information. AI outputs require human review and must be checked against the underlying data and assumptions.

Illustrative question


Decision Traceability and Governance

Record the information, assumptions and reviews behind a decision, then follow the outcome. Access controls, approval steps and documentation requirements are agreed during implementation.

Connected Decision Intelligence

Connect agreed financial, operational, sales and HR data sources for management review. Refresh frequency and response times depend on the source systems and integration design.

Integration scope


AI-assisted Strategic Analysis

Ask questions in natural language and explore selected business information. AI outputs require human review and must be checked against the underlying data and assumptions.

Illustrative question


Decision Traceability and Governance

Record the information, assumptions and reviews behind a decision, then follow the outcome. Access controls, approval steps and documentation requirements are agreed during implementation.

Business Questions the Solution Can Support

Finance and Growth
Operations and Risk

Cash Flow Planning

Explore liquidity forecasts based on available financial data. Forecast horizons and reliability depend on data quality, model validation and the agreed implementation scope.

Strategic Risk Review

Review risk indicators and configured alerts using agreed data sources.

Operational Performance

Review cost differences and supply-chain risk indicators to identify operational issues for investigation.

Revenue Growth Analysis

Explore customer and revenue patterns to support commercial planning, subject to data quality and validation.

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Connect production planning, materials, quality, stock and costing around your manufacturing workflow.

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TDS Specialized Construction and EPC

Connect budgets, project procurement, site progress and billing for technically complex projects.

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Talents Digital Services

Discuss your business requirements with TDS.

                                                                                                                                                                                Contact TDS


Talents Digital Services

Discuss your business requirements with TDS.

                                                                                                                                                                                Contact TDS

AI Decision Support Questions

What does AI decision support do?

It brings selected ERP information into a shared review process, helping teams explore business questions, assumptions and scenarios. AI outputs support human judgment and require validation against the underlying data.

What is needed before implementation?

Agree the business questions, data sources, access permissions, integration scope and review responsibilities. Data quality, testing and human oversight determine how the solution can be used responsibly.

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